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Commission-aware Trade LabelsCommission-aware Trade Labels Description: This library provides an easy way to visualize take-profit and stop-loss levels on your chart, taking into account trading commissions. The library calculates and displays the net profit or loss, along with other useful information such as risk/reward ratio, shares, and position size. Features: Configurable take-profit and stop-loss prices or percentages. Set entry amount or shares. Calculates and displays the risk/reward ratio. Shows net profit or loss, considering trading commissions. Customizable label appearance. Usage: Add the script to your chart. Create an Order object for take-profit and stop-loss with desired configurations. Call target_label() and stop_label() methods for each order object. Example: target_order = Order.new(take_profit_price=27483, stop_loss_price=28000, shares=0.2) stop_order = Order.new(stop_loss_price=29000, shares=1) target_order.target_label() stop_order.stop_label() This script is a powerful tool for visualizing your trading strategy's performance and helps you make better-informed decisions by considering trading commissions in your profit and loss calculations. Library "tradelabels" entry_price(this)   Parameters:      this : Order object @return entry_price take_profit_price(this)   Parameters:      this : Order object @return take_profit_price stop_loss_price(this)   Parameters:      this : Order object @return stop_loss_price is_long(this)   Parameters:      this : Order object @return entry_price is_short(this)   Parameters:      this : Order object @return entry_price percent_to_target(this, target)   Parameters:      this : Order object      target : Target price @return percent risk_reward(this)   Parameters:      this : Order object @return risk_reward_ratio shares(this)   Parameters:      this : Order object @return shares position_size(this)   Parameters:      this : Order object @return position_size commission_cost(this, target_price)   Parameters:      this : Order object @return commission_cost      target_price net_result(this, target_price)   Parameters:      this : Order object      target_price : The target price to calculate net result for (either take_profit_price or stop_loss_price) @return net_result create_take_profit_label(this, prefix, size, offset_x, bg_color, text_color)   Parameters:      this      prefix      size      offset_x      bg_color      text_color create_stop_loss_label(this, prefix, size, offset_x, bg_color, text_color)   Parameters:      this      prefix      size      offset_x      bg_color      text_color create_entry_label(this, prefix, size, offset_x, bg_color, text_color)   Parameters:      this      prefix      size      offset_x      bg_color      text_color create_line(this, target_price, line_color, offset_x, line_style, line_width, draw_entry_line)   Parameters:      this      target_price      line_color      offset_x      line_style      line_width      draw_entry_line Order   Order   Fields:      entry_price : Entry price      stop_loss_price : Stop loss price      stop_loss_percent : Stop loss percent, default 2%      take_profit_price : Take profit price      take_profit_percent : Take profit percent, default 6%      entry_amount : Entry amount, default 5000$      shares : Shares      commission : Commission, default 0.04%
Pine Script™ Bibliothek
von bunulu
4
CNTLibraryLibrary "CNTLibrary" Custom Functions To Help Code In Pinescript V5 Coded By Christian Nataliano First Coded In 10/06/2023 Last Edited In 22/06/2023 Huge Shout Out To © ZenAndTheArtOfTrading and his ZenLibrary V5, Some Of The Custom Functions Were Heavily Inspired By Matt's Work & His Pine Script Mastery Course Another Shout Out To The TradingView's Team Library ta V5 //==================================================================================================================================================== // Custom Indicator Functions //==================================================================================================================================================== GetKAMA(KAMA_lenght, Fast_KAMA, Slow_KAMA)   Calculates An Adaptive Moving Average Based On Perry J Kaufman's Calculations   Parameters:      KAMA_lenght (int) : Is The KAMA Lenght      Fast_KAMA (int) : Is The KAMA's Fastes Moving Average      Slow_KAMA (int) : Is The KAMA's Slowest Moving Average   Returns: Float Of The KAMA's Current Calculations GetMovingAverage(Source, Lenght, Type)   Get Custom Moving Averages Values   Parameters:      Source (float) : Of The Moving Average, Defval = close      Lenght (simple int) : Of The Moving Average, Defval = 50      Type (string) : Of The Moving Average, Defval = Exponential Moving Average   Returns: The Moving Average Calculation Based On Its Given Source, Lenght & Calculation Type (Please Call Function On Global Scope) GetDecimals()   Calculates how many decimals are on the quote price of the current market © ZenAndTheArtOfTrading   Returns: The current decimal places on the market quote price Truncate(number, decimalPlaces)   Truncates (cuts) excess decimal places © ZenAndTheArtOfTrading   Parameters:      number (float)      decimalPlaces (simple float)   Returns: The given number truncated to the given decimalPlaces ToWhole(number)   Converts pips into whole numbers © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number ToPips(number)   Converts whole numbers back into pips © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number GetPctChange(value1, value2, lookback)   Gets the percentage change between 2 float values over a given lookback period © ZenAndTheArtOfTrading   Parameters:      value1 (float)      value2 (float)      lookback (int) BarsAboveMA(lookback, ma)   Counts how many candles are above the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are above the MA BarsBelowMA(lookback, ma)   Counts how many candles are below the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are below the EMA BarsCrossedMA(lookback, ma)   Counts how many times the EMA was crossed recently © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many times price recently crossed the EMA GetPullbackBarCount(lookback, direction)   Counts how many green & red bars have printed recently (ie. pullback count) © ZenAndTheArtOfTrading   Parameters:      lookback (int)      direction (int)   Returns: The bar count of how many candles have retraced over the given lookback & direction GetSwingHigh(Lookback, SwingType)   Check If Price Has Made A Recent Swing High   Parameters:      Lookback (int) : Is For The Swing High Lookback Period, Defval = 7      SwingType (int) : Is For The Swing High Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing High GetSwingLow(Lookback, SwingType)   Check If Price Has Made A Recent Swing Low   Parameters:      Lookback (int) : Is For The Swing Low Lookback Period, Defval = 7      SwingType (int) : Is For The Swing Low Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing Low //==================================================================================================================================================== // Custom Risk Management Functions //==================================================================================================================================================== CalculateStopLossLevel(OrderType, Entry, StopLoss)   Calculate StopLoss Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLoss (float) : Is The Custom StopLoss Distance, Defval = 2x ATR Below Close   Returns: Float - The StopLoss Level In Actual Price As A CalculateStopLossDistance(OrderType, Entry, StopLoss)   Calculate StopLoss Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      StopLoss (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The StopLoss Value In Pips CalculateTakeProfitLevel(OrderType, Entry, StopLossDistance, RiskReward)   Calculate TakeProfit Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLossDistance (float)      RiskReward (float)   Returns: Float - The TakeProfit Level In Actual Price CalculateTakeProfitDistance(OrderType, Entry, TakeProfit)   Get TakeProfit Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      TakeProfit (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The TakeProfit Value In Pips CalculateConversionCurrency(AccountCurrency, SymbolCurrency, BaseCurrency)   Get The Conversion Currecny Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      AccountCurrency (simple string) : Is For The Account Currency Used      SymbolCurrency (simple string) : Is For The Current Symbol Currency (Front Symbol)      BaseCurrency (simple string) : Is For The Current Symbol Base Currency (Back Symbol)   Returns: Tuple Of A Bollean (Convert The Currency ?) And A String (Converted Currency) CalculateConversionRate(ConvertCurrency, ConversionRate)   Get The Conversion Rate Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      ConvertCurrency (bool) : Is To Check If The Current Symbol Needs To Be Converted Or Not      ConversionRate (float) : Is The Quoted Price Of The Conversion Currency (Input The request.security Function Here)   Returns: Float Price Of Conversion Rate (If In The Same Currency Than Return Value Will Be 1.0) LotSize(LotSizeSimple, Balance, Risk, SLDistance, ConversionRate)   Get Current Lot Size   Parameters:      LotSizeSimple (bool) : Is To Toggle Lot Sizing Calculation (Simple Is Good Enough For Stocks & Crypto, Whilst Complex Is For Forex)      Balance (float) : Is For The Current Account Balance To Calculate The Lot Sizing Based Off      Risk (float) : Is For The Current Risk Per Trade To Calculate The Lot Sizing Based Off      SLDistance (float) : Is The Current Position StopLoss Distance From Its Entry Price      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - Position Size In Units ToLots(Units)   Converts Units To Lots   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots ToUnits(Lots)   Converts Lots To Units   Parameters:      Lots (float) : Is For How Many Lots Need To Be Converted Into Units (Minimun 0.01 Units)   Returns: Int - Position Size In Units ToLotsInUnits(Units)   Converts Units To Lots Than Back To Units   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots That Were Rounded To Units ATRTrail(OrderType, SourceType, ATRPeriod, ATRMultiplyer, SwingLookback)   Calculate ATR Trailing Stop   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      SourceType (int) : Is To Determine Where To Calculate The ATR Trailing From, Defval = close      ATRPeriod (simple int) : Is To Change Its ATR Period, Defval = 20      ATRMultiplyer (float) : Is To Change Its ATR Trailing Distance, Defval = 1      SwingLookback (int) : Is To Change Its Swing HiLo Lookback (Only From Source Type 5), Defval = 7   Returns: Float - Number Of The Current ATR Trailing DangerZone(WinRate, AvgRRR, Filter)   Calculate Danger Zone Of A Given Strategy   Parameters:      WinRate (float) : Is The Strategy WinRate      AvgRRR (float) : Is The Strategy Avg RRR      Filter (float) : Is The Minimum Profit It Needs To Be Out Of BE Zone, Defval = 3   Returns: Int - Value, 1 If Out Of Danger Zone, 0 If BE, -1 If In Danger Zone IsQuestionableTrades(TradeTP, TradeSL)   Checks For Questionable Trades (Which Are Trades That Its TP & SL Level Got Hit At The Same Candle)   Parameters:      TradeTP (float) : Is The Trade In Question Take Profit Level      TradeSL (float) : Is The Trade In Question Stop Loss Level   Returns: Bool - True If The Last Trade Was A "Questionable Trade" //==================================================================================================================================================== // Custom Strategy Functions //==================================================================================================================================================== OpenLong(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Long Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Long"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Long Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void OpenShort(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Short Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Short"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Short Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void TP_SLExit(FromID, TPLevel, SLLevel, PercentageClose, Comment, CommentValue)   Exits Based On Predetermined TP & SL Levels   Parameters:      FromID (string) : Is The Trade ID That The TP & SL Levels Be Palced      TPLevel (float) : Is The Take Profit Level      SLLevel (float) : Is The StopLoss Level      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void CloseLong(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Long Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Long"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void CloseShort(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Short Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Short"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void BrokerCheck(Broker)   Checks Traded Broker With Current Loaded Chart Broker   Parameters:      Broker (string) : Is The Current Broker That Is Traded   Returns: Bool - True If Current Traded Broker Is Same As Loaded Chart Broker OpenPC(LicenseID, OrderType, UseLimit, LimitPrice, SymbolPrefix, Symbol, SymbolSuffix, Risk, SL, TP, OrderComment, Spread)   Compiles Given Parameters Into An Alert String Format To Open Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Open      UseLimit (bool) : Is If We Want To Enter The Position At Exactly The Previous Closing Price      LimitPrice (float) : Is The Limit Price Of The Trade (Only For Pending Orders)      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)      Risk (float) : Is The Trade Risk Per Trade / Fixed Lot Sizing      SL (float) : Is The Trade SL In Price / In Pips      TP (float) : Is The Trade TP In Price / In Pips      OrderComment (string) : Is The Executed Trade Comment      Spread (float) : is The Maximum Spread For Execution   Returns: String - Pine Connector Order Syntax Alert Message ClosePC(LicenseID, OrderType, SymbolPrefix, Symbol, SymbolSuffix)   Compiles Given Parameters Into An Alert String Format To Close Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Close      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)   Returns: String - Pine Connector Order Syntax Alert Message //==================================================================================================================================================== // Custom Backtesting Calculation Functions //==================================================================================================================================================== CalculatePNL(EntryPrice, ExitPrice, LotSize, ConversionRate)   Calculates Trade PNL Based On Entry, Eixt & Lot Size   Parameters:      EntryPrice (float) : Is The Trade Entry      ExitPrice (float) : Is The Trade Exit      LotSize (float) : Is The Trade Sizing      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - The Current Trade PNL UpdateBalance(PrevBalance, PNL)   Updates The Previous Ginve Balance To The Next PNL   Parameters:      PrevBalance (float) : Is The Previous Balance To Be Updated      PNL (float) : Is The Current Trade PNL To Be Added   Returns: Float - The Current Updated PNL CalculateSlpComm(PNL, MaxRate)   Calculates Random Slippage & Commisions Fees Based On The Parameters   Parameters:      PNL (float) : Is The Current Trade PNL      MaxRate (float) : Is The Upper Limit (In Percentage) Of The Randomized Fee   Returns: Float - A Percentage Fee Of The Current Trade PNL UpdateDD(MaxBalance, Balance)   Calculates & Updates The DD Based On Its Given Parameters   Parameters:      MaxBalance (float) : Is The Maximum Balance Ever Recorded      Balance (float) : Is The Current Account Balance   Returns: Float - The Current Strategy DD CalculateWR(TotalTrades, LongID, ShortID)   Calculate The Total, Long & Short Trades Win Rate   Parameters:      TotalTrades (int) : Are The Current Total Trades That The Strategy Has Taken      LongID (string) : Is The Order ID Of The Long Trades Of The Strategy      ShortID (string) : Is The Order ID Of The Short Trades Of The Strategy   Returns: Tuple Of Long WR%, Short WR%, Total WR%, Total Winning Trades, Total Losing Trades, Total Long Trades & Total Short Trades CalculateAvgRRR(WinTrades, LossTrades)   Calculates The Overall Strategy Avg Risk Reward Ratio   Parameters:      WinTrades (int) : Are The Strategy Winning Trades      LossTrades (int) : Are The Strategy Losing Trades   Returns: Float - The Average RRR Values CAGR(StartTime, StartPrice, EndTime, EndPrice)   Calculates The CAGR Over The Given Time Period © TradingView   Parameters:      StartTime (int) : Is The Starting Time Of The Calculation      StartPrice (float) : Is The Starting Price Of The Calculation      EndTime (int) : Is The Ending Time Of The Calculation      EndPrice (float) : Is The Ending Price Of The Calculation   Returns: Float - The CAGR Values //==================================================================================================================================================== // Custom Plot Functions //==================================================================================================================================================== EditLabels(LabelID, X1, Y1, Text, Color, TextColor, EditCondition, DeleteCondition)   Edit / Delete Labels   Parameters:      LabelID (label) : Is The ID Of The Selected Label      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      Text (string) : Is The Text Than Wants To Be Written In The Label      Color (color) : Is The Color Value Change Of The Label Text      TextColor (color)      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void EditLine(LineID, X1, Y1, X2, Y2, Color, EditCondition, DeleteCondition)   Edit / Delete Lines   Parameters:      LineID (line) : Is The ID Of The Selected Line      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      X2 (int) : Is The X2 Coordinate IN BARINDEX Xloc      Y2 (float) : Is The Y2 Coordinate IN PRICE Yloc      Color (color) : Is The Color Value Change Of The Line      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void //==================================================================================================================================================== // Custom Display Functions (Using Tables) //==================================================================================================================================================== FillTable(TableID, Column, Row, Title, Value, BgColor, TextColor, ToolTip)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      Column (int) : Is The Current Column Of The Table That Wants To Be Edited      Row (int) : Is The Current Row Of The Table That Wants To Be Edited      Title (string) : Is The String Title Of The Current Cell Table      Value (string) : Is The String Value Of The Current Cell Table      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      ToolTip (string) : Is The ToolTip Of The Current Cell In The Table   Returns: Void DisplayBTResults(TableID, BgColor, TextColor, StartingBalance, Balance, DollarReturn, TotalPips, MaxDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      StartingBalance (float) : Is The Account Starting Balance      Balance (float)      DollarReturn (float) : Is The Account Dollar Reture      TotalPips (float) : Is The Total Pips Gained / loss      MaxDD (float) : Is The Maximum Drawdown Over The Backtesting Period   Returns: Void DisplayBTResultsV2(TableID, BgColor, TextColor, TotalWR, QTCount, LongWR, ShortWR, InitialCapital, CumProfit, CumFee, AvgRRR, MaxDD, CAGR, MeanDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      TotalWR (float) : Is The Strategy Total WR In %      QTCount (int) : Is The Strategy Questionable Trades Count      LongWR (float) : Is The Strategy Total WR In %      ShortWR (float) : Is The Strategy Total WR In %      InitialCapital (float) : Is The Strategy Initial Starting Capital      CumProfit (float) : Is The Strategy Ending Cumulative Profit      CumFee (float) : Is The Strategy Ending Cumulative Fee (Based On Randomized Fee Assumptions)      AvgRRR (float) : Is The Strategy Average Risk Reward Ratio      MaxDD (float) : Is The Strategy Maximum DrawDown In Its Backtesting Period      CAGR (float) : Is The Strategy Compounded Average GRowth In %      MeanDD (float) : Is The Strategy Mean / Average Drawdown In The Backtesting Period   Returns: Void //==================================================================================================================================================== // Custom Pattern Detection Functions //==================================================================================================================================================== BullFib(priceLow, priceHigh, fibRatio)   Calculates A Bullish Fibonacci Value (From Swing Low To High) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points BearFib(priceLow, priceHigh, fibRatio)   Calculates A Bearish Fibonacci Value (From Swing High To Low) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points GetBodySize()   Gets The Current Candle Body Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN POINTS GetTopWickSize()   Gets The Current Candle Top Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Top Wick Size IN POINTS GetBottomWickSize()   Gets The Current Candle Bottom Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Bottom Wick Size IN POINTS GetBodyPercent()   Gets The Current Candle Body Size As A Percentage Of Its Entire Size Including Its Wicks © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN PERCENTAGE GetTopWickPercent()   Gets The Current Top Wick Size As A Percentage Of Its Entire Body Size   Returns: Float - The Current Candle Top Wick Size IN PERCENTAGE GetBottomWickPercent()   Gets The Current Bottom Wick Size As A Percentage Of Its Entire Bodu Size   Returns: Float - The Current Candle Bottom Size IN PERCENTAGE BullishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Engulfing Candle BearishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bearish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Engulfing Candle Hammer(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Star(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Doji(MaxWickSize, MaxBodySize, DojiType, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Doji Candle   Parameters:      MaxWickSize (float) : To Specify The Maximum Lenght Of Its Upper & Lower Wick, Defval = 2      MaxBodySize (float) : To Specify The Maximum Lenght Of Its Candle Body IN PERCENT, Defval = 0.05      DojiType (int)      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Doji Candle BullishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Harami Candle BearishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Harami Candle //==================================================================================================================================================== // Custom Time Functions //==================================================================================================================================================== BarInSession(sess, useFilter)   Determines if the current price bar falls inside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls within the given time session BarOutSession(sess, useFilter)   Determines if the current price bar falls outside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls outside the given time session DateFilter(startTime, endTime)   Determines if this bar's time falls within date filter range © ZenAndTheArtOfTrading   Parameters:      startTime (int)      endTime (int)   Returns: A boolean - true if the current bar falls within the given dates DayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)   Checks if the current bar's day is in the list of given days to analyze © ZenAndTheArtOfTrading   Parameters:      monday (bool)      tuesday (bool)      wednesday (bool)      thursday (bool)      friday (bool)      saturday (bool)      sunday (bool)   Returns: A boolean - true if the current bar's day is one of the given days AUSSess()   Checks If The Current Australian Forex Session In Running   Returns: Bool - True If Currently The Australian Session Is Running ASIASess()   Checks If The Current Asian Forex Session In Running   Returns: Bool - True If Currently The Asian Session Is Running EURSess()   Checks If The Current European Forex Session In Running   Returns: Bool - True If Currently The European Session Is Running USSess()   Checks If The Current US Forex Session In Running   Returns: Bool - True If Currently The US Session Is Running UNIXToDate(Time, ConversionType, TimeZone)   Converts UNIX Time To Datetime   Parameters:      Time (int) : Is The UNIX Time Input      ConversionType (int) : Is The Datetime Output Format, Defval = DD-MM-YYYY      TimeZone (string) : Is To Convert The Outputed Datetime Into The Specified Time Zone, Defval = Exchange Time Zone   Returns: String - String Of Datetime
Pine Script™ Bibliothek
von CN_FX-999
Strategy█   OVERVIEW This library is a Pine Script™ programmer’s tool containing a variety of strategy-related functions to assist in calculations like profit and loss, stop losses and limits. It also includes several useful functions one can use to convert between units in ticks, price, currency or a percentage of the position's size. █  CONCEPTS The library contains three types of functions: 1 — Functions beginning with `percent` take either a portion of a price, or the current position's entry price and convert it to the value outlined in the function's documentation.   Example: Converting a percent of the current position entry price to ticks, or calculating a percent profit at a given level for the position. 2 — Functions beginning with `tick` convert a tick value to another form.   These are useful for calculating a price or currency value from a specified number of ticks. 3 — Functions containing `Level` are used to calculate a stop or take profit level using an offset in ticks from the current entry price.   These functions can be used to plot stop or take profit levels on the chart, or as arguments to the `limit` and `stop` parameters in strategy.exit() function calls.   Note that these calculated levels flip automatically with the position's bias.   For example, using `ticksToStopLevel()` will calculate a stop level under the entry price for a long position, and above the entry price for a short position. There are also two functions to assist in calculating a position size using the entry's stop and a fixed risk expressed as a percentage of the current account's equity. By varying the position size this way, you ensure that entries with different stop levels risk the same proportion of equity. █  NOTES Example code using some of the library's functions is included at the end of the library. To see it in action, copy the library's code to a new script in the Pine Editor, and “Add to chart”. For each trade, the code displays:  • The entry level in orange.  • The stop level in fuchsia.  • The take profit level in green. The stop and take profit levels automatically flip sides based on whether the current position is long or short. Labels near the last trade's levels display the percentages used to calculate them, which can be changed in the script's inputs. We plot markers for entries and exits because strategy code in libraries does not display the usual markers for them. Look first. Then leap. █  FUNCTIONS percentToTicks(percent) Converts a percentage of the average entry price to ticks.   Parameters:      percent : (series int/float) The percentage of `strategy.position_avg_price` to convert to ticks. 50 is 50% of the entry price.   Returns: (float) A value in ticks. percentToPrice(percent) Converts a percentage of the average entry price to a price.   Parameters:      percent : (series int/float) The percentage of `strategy.position_avg_price` to convert to price. 50 is 50% of the entry price.   Returns: (float) A value in the symbol's quote currency (USD for BTCUSD). percentToCurrency(price, percent) Converts the percentage of a price to money.   Parameters:      price : (series int/float) The symbol's price.      percent : (series int/float) The percentage of `price` to calculate.   Returns: (float) A value in the symbol's currency. percentProfit(exitPrice) Calculates the profit (as a percentage of the position's `strategy.position_avg_price` entry price) if the trade is closed at `exitPrice`.   Parameters:      exitPrice : (series int/float) The potential price to close the position.   Returns: (float) Percentage profit for the current position if closed at the `exitPrice`. priceToTicks(price) Converts a price to ticks.   Parameters:      price : (series int/float) Price to convert to ticks.   Returns: (float) A quantity of ticks. ticksToPrice(price) Converts ticks to a price offset from the average entry price.   Parameters:      price : (series int/float) Ticks to convert to a price.   Returns: (float) A price level that has a distance from the entry price equal to the specified number of ticks. ticksToCurrency(ticks) Converts ticks to money.   Parameters:      ticks : (series int/float) Number of ticks.   Returns: (float) Money amount in the symbol's currency. ticksToStopLevel(ticks) Calculates a stop loss level using a distance in ticks from the current `strategy.position_avg_price` entry price. This value can be plotted on the chart, or used as an argument to the `stop` parameter of a `strategy.exit()` call. NOTE: The stop level automatically flips based on whether the position is long or short.   Parameters:      ticks : (series int/float) The distance in ticks from the entry price to the stop loss level.   Returns: (float) A stop loss level for the current position. ticksToTpLevel(ticks) Calculates a take profit level using a distance in ticks from the current `strategy.position_avg_price` entry price. This value can be plotted on the chart, or used as an argument to the `limit` parameter of a `strategy.exit()` call. NOTE: The take profit level automatically flips based on whether the position is long or short.   Parameters:      ticks : (series int/float) The distance in ticks from the entry price to the take profit level.   Returns: (float) A take profit level for the current position. calcPositionSizeByStopLossTicks(stopLossTicks, riskPercent) Calculates the position size needed to implement a given stop loss (in ticks) corresponding to `riskPercent` of equity.   Parameters:      stopLossTicks : (series int) The stop loss (in ticks) that will be used to protect the position.      riskPercent : (series int/float) The maximum risk level as a percent of current equity (`strategy.equity`).   Returns: (int) A quantity of contracts. calcPositionSizeByStopLossPercent(stopLossPercent, riskPercent, entryPrice) Calculates the position size needed to implement a given stop loss (%) corresponding to `riskPercent` of equity.   Parameters:      stopLossPercent : (series int/float) The stop loss in percent that will be used to protect the position.      riskPercent : (series int/float) The maximum risk level as a percent of current equity (`strategy.equity`).      entryPrice : (series int/float) The entry price of the position.   Returns: (int) A quantity of contracts. exitPercent(id, lossPercent, profitPercent, qty, qtyPercent, comment, when, alertMessage) A wrapper of the `strategy.exit()` built-in which adds the possibility to specify loss & profit in as a value in percent. NOTE: this function may work incorrectly with pyramiding turned on due to the use of `strategy.position_avg_price` in its calculations of stop loss and take profit offsets.   Parameters:      id : (series string) The order identifier of the `strategy.exit()` call.      lossPercent : (series int/float) Stop loss as a percent of the entry price.      profitPercent : (series int/float) Take profit as a percent of the entry price.      qty : (series int/float) Number of contracts/shares/lots/units to exit a trade with. The default value is `na`.      qtyPercent : (series int/float) The percent of the position's size to exit a trade with. If `qty` is `na`, the default value of `qty_percent` is 100.      comment : (series string) Optional. Additional notes on the order.      when : (series bool) Condition of the order. The order is placed if it is true.      alertMessage : (series string) An optional parameter which replaces the {{strategy.order.alert_message}} placeholder when it is used in the "Create Alert" dialog box's "Message" field.
Pine Script™ Bibliothek
von TradingView
31
IU Higher Timeframe MA Cross StrategyIU Higher Timeframe MA Cross Strategy The IU Higher Timeframe MA Cross Strategy is a versatile trading tool designed to identify trend by utilizing two customizable moving averages (MAs) across different timeframes and types. This strategy includes detailed entry and exit rules with fully configurable inputs, offering flexibility to suit various trading styles. Key Features: - Two moving averages (MA1 and MA2) with customizable types, lengths, sources, and timeframes. - Both long and short trade setups based on MA crossovers. - Integrated risk management with adjustable stop-loss and take-profit levels based on a user-defined risk-to-reward (RTR) ratio. - Clear visualization of MAs, entry points, stop-loss, and take-profit zones. Inputs: 1. Risk-to-Reward Ratio (RTR): - Defines the take-profit level in relation to the stop-loss distance. Default is 2. 2. MA1 Settings: - Source: Select the data source for calculating MA1 (e.g., close, open, high, low). Default is close. - Timeframe: Specify the timeframe for MA1 calculation. Default is 60 (60-minute chart). - Length: Set the lookback period for MA1 calculation. Default is 20. - Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA. - Smooth: Option to enable or disable smoothing of MA1 to merge gaps. Default is true. 3. MA2 Settings: - Source: Select the data source for calculating MA2 (e.g., close, open, high, low). Default is close. - Timeframe: Specify the timeframe for MA2 calculation. Default is 60 (60-minute chart). - Length: Set the lookback period for MA2 calculation. Default is 50. - Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA. - Smooth: Option to enable or disable smoothing of MA2 to merge gaps. Default is true. Entry Rules: - Long Entry: - Triggered when MA1 crosses above MA2 (crossover). - Entry is confirmed only when the bar is closed and no existing position is active. - Short Entry: - Triggered when MA1 crosses below MA2 (crossunder). - Entry is confirmed only when the bar is closed and no existing position is active. Exit Rules: - Stop-Loss: - For long positions: Set at the low of the bar preceding the entry. - For short positions: Set at the high of the bar preceding the entry. - Take-Profit: - For long positions: Calculated as (Entry Price - Stop-Loss) * RTR + Entry Price. - For short positions: Calculated as Entry Price - (Stop-Loss - Entry Price) * RTR. Visualization: - Plots MA1 and MA2 on the chart with distinct colors for easy identification. - Highlights stop-loss and take-profit levels using shaded zones for clear visual representation. - Displays the entry level for active positions. This strategy provides a robust framework for traders to identify and act on trend reversals while maintaining strict risk management. The flexibility of its inputs allows for seamless customization to adapt to various market conditions and trading preferences.
Pine Script™ Strategie
von Shivam_Mandrai
SnowdexUtilsLibrary "SnowdexUtils" the various function that often use when create a strategy trading. f_backtesting_date(train_start_date, train_end_date, test_date, deploy_date)   Backtesting within a specific window based on deployment and testing dates.   Parameters:      train_start_date (int) : the start date for training the strategy.      train_end_date (int) : the end date for training the strategy.      test_date (bool) : if true, backtests within the period from `train_end_date` to the current time.      deploy_date (bool) : if true, the strategy backtests up to the current time.   Returns: given time falls within the specified window for backtesting. f_init_ma(ma_type, source, length)   Initializes a moving average based on the specified type.   Parameters:      ma_type (simple string) : the type of moving average (e.g., "RMA", "EMA", "SMA", "WMA").      source (float) : the input series for the moving average calculation.      length (simple int) : the length of the moving average window.   Returns: the calculated moving average value. f_init_tp(side, entry_price, rr, sl_open_position)   Calculates the target profit based on entry price, risk-reward ratio, and stop loss. The formula is `tp = entry price + (rr * (entry price - stop loss))`.   Parameters:      side (bool) : the trading side (true for long, false for short).      entry_price (float) : the entry price of the position.      rr (float) : the risk-reward ratio.      sl_open_position (float) : the stop loss price for the open position.   Returns: the calculated target profit value. f_round_up(number, decimals)   Rounds up a number to a specified number of decimals.   Parameters:      number (float)      decimals (int)   Returns: The rounded-up number. f_get_pip_size()   Calculates the pip size for the current instrument.   Returns: Pip size adjusted for Forex instruments or 1 for others. f_table_get_position(value)   Maps a string to a table position constant.   Parameters:      value (string) : String representing the desired position (e.g., "Top Right").   Returns: The corresponding position constant or `na` for invalid values.
Pine Script™ Bibliothek
von snowdex
Position Size CalculatorThe provided Pine Script is a custom indicator titled "Position Size Calculator" designed to assist traders in calculating the appropriate size of a trading position based on predefined risk parameters. This script is intended to be overlaid on a trading chart, as indicated by `overlay=true`, allowing traders to visualize and adjust their risk and position size directly within the context of their trading strategy. What It Does: The core functionality of this script revolves around calculating the position size a trader should take based on three input parameters: **Risk in USD (`Risk`)**: This represents the amount of money the trader is willing to risk on a single trade. **Entry Price (`EntryPrice`)**: The price at which the trader plans to enter the market. **Stop Loss (`StopLoss`)**: The price at which the trader plans to exit the market should the trade move against them, effectively limiting their loss. The script calculates the position size using a function named `calculatePositionSize`, which performs the following steps: It first calculates the `expectedLoss` by taking 90% (`0.9`) of the input risk. This implies that the script factors in a safety margin, assuming traders are willing to risk up to 90% of their stated risk amount per trade. It then calculates the position size based on the distance between the Entry Price and the Stop Loss. This calculation adjusts based on whether the Entry Price is higher or lower than the Stop Loss, ensuring that the position size fits the risk profile regardless of trade direction. The function returns several values: `risk`, `entryPrice`, `stopLoss`, `expectedLoss`, and `size`, which are then plotted on the chart. How It Does It: **Expected Loss Calculation**: By reducing the risk by 10% before calculating position size, the script provides a buffer to account for slippage or to ensure the trader does not fully utilize their risk budget on a single trade. **Position Size Calculation**: The script calculates position size by dividing the adjusted risk (`expectedLoss`) by the price difference between the Entry Price and Stop Loss. This gives a quantitative measure of how many units of the asset can be bought or sold while staying within the risk parameters. What Traders Can Use It For: Traders can use this Position Size Calculator for several purposes: - **Risk Management**: By determining the appropriate position size, traders can ensure that they do not overexpose themselves to market risk on a single trade. - **Trade Planning**: Before entering a trade, the script allows traders to visualize their risk, entry, and exit points, helping them to make more informed decisions. - **Consistency**: Using a standardized method for calculating position size helps traders maintain consistency in their trading approach, a key aspect of successful trading strategies. - **Efficiency**: Automating the calculation of position size saves time and reduces the likelihood of manual calculation errors. Overall, this Pine Script indicator is a practical tool for traders looking to implement strict risk management rules within their trading strategies, ensuring that each trade is sized appropriately according to their risk tolerance and market conditions.
Pine Script™ Indikator
von GreatestUsername
Milvetti_TraderPost_LibraryLibrary "Milvetti_TraderPost_Library" This library has methods that provide practical signal transmission for traderpost.Developed By Milvetti cancelOrders(symbol)   This method generates a signal in JSON format that cancels all orders for the specified pair. (If you want to cancel stop loss and takeprofit orders together, use the “exitOrder” method.   Parameters:      symbol (string) exitOrders(symbol)   This method generates a signal in JSON format that close all orders for the specified pair.   Parameters:      symbol (string) createOrder(ticker, positionType, orderType, entryPrice, signalPrice, qtyType, qty, stopLoss, stopType, stopValue, takeProfit, profitType, profitValue, timeInForce)   This function is designed to send buy or sell orders to traderpost. It can create customized orders by flexibly specifying parameters such as order type, position type, entry price, quantity calculation method, stop-loss, and take-profit. The purpose of the function is to consolidate all necessary details for opening a position into a single structure and present it as a structured JSON output. This format can be sent to trading platforms via webhooks.   Parameters:      ticker (string) : The ticker symbol of the instrument. Default value is the current chart's ticker (syminfo.ticker).      positionType (string) : Determines the type of order (e.g., "long" or "buy" for buying and "short" or "sell" for selling).      orderType (string) : Defines the order type for execution. Options: "market", "limit", "stop". Default is "market"      entryPrice (float) : The price level for entry orders. Only applicable for limit or stop orders. Default is 0 (market orders ignore this).      signalPrice (float) : Optional. Only necessary when using relative take profit or stop losses, and the broker does not support fetching quotes to perform the calculation. Default is 0      qtyType (string) : Determines how the order quantity is calculated. Options: "fixed_quantity", "dollar_amount", "percent_of_equity", "percent_of_position".      qty (float) : Quantity value. Can represent units of shares/contracts or a dollar amount, depending on qtyType.      stopLoss (bool) : Enable or disable stop-loss functionality. Set to `true` to activate.      stopType (string) : Specifies the stop-loss calculation type. Options: percent, "amount", "stopPrice", "trailPercent", "trailAmount". Default is "stopPrice"      stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount, or a specific stop price. Default is "stopPrice"      takeProfit (bool) : Enable or disable take-profit functionality. Set to `true` to activate.      profitType (string) : Specifies the take-profit calculation type. Options: "percent", "amount", "limitPrice". Default is "limitPrice"      profitValue (float) : Take-profit value based on profitType. Can be a percentage, dollar amount, or a specific limit price. Default is 0      timeInForce (string) : The time in force for your order. Options: day, gtc, opg, cls, ioc and fok   Returns: Return result in Json format. addTsl(symbol, stopType, stopValue, price)   This method adds trailing stop loss to the current position. “Price” is the trailing stop loss starting level. You can leave price blank if you want it to start immediately   Parameters:      symbol (string)      stopType (string) : Specifies the trailing stoploss calculation type. Options: "trailPercent", "trailAmount".      stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount.      price (float) : The trailing stop loss starting level. You can leave price blank if you want it to start immediately. Default is current price.
Pine Script™ Bibliothek
von Milvetti
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary: This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts. Key Features: Core Levels: Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%). Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels. Buy and Sell Signals: Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry. Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry. Clean Chart Design: Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity. How to Use: Entry Points: Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level. Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level. Exit Strategy: Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones. Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively. One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading. Who It’s For: This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
Pine Script™ Indikator
von alixx220
lib_risk_managementLibrary "lib_risk_management" a lib to help with dynamic position sizing position_size(risk, account_balance, entry_price, sl_price)   calculate the position size required to meet the account size based risk given when the stop loss is triggered   Parameters:      risk (float) : percentage of account balance to risk (1-100)      account_balance (float) : account balance in instrument currency      entry_price (float) : entry price      sl_price (float) : stop loss price   Returns: the position size in instrument currency that will loose the given risk percentage of the account balance when a stop loss is triggered account_balance(to_currency, live) converts the (current(default)/initial) account balance to the given currency at the daily rate   Parameters:      to_currency (simple string) The currency in which the account balance is to be converted. Possible values: a three-letter string with the currency code in the ISO 4217 format (e.g. "USD"), or one of the built-in variables that return currency codes, like syminfo.currency or currency.USD.      live (bool) converts the current account balance (strategy.equity) (default:true) or otherwise the initial capital (strategy.initial_capital)   Returns: the (current/initial) account balance converted to the given currency with at the current daily rate
Pine Script™ Bibliothek
von robbatt
CCI+EMA Strategy with Percentage or ATR TP/SL [Alifer]This is a momentum strategy based on the Commodity Channel Index (CCI), with the aim of entering long trades in oversold conditions and short trades in overbought conditions. Optionally, you can enable an Exponential Moving Average (EMA) to only allow trading in the direction of the larger trend. Please note that the strategy will not plot the EMA. If you want, for visual confirmation, you can add to the chart an Exponential Moving Average as a second indicator, with the same settings used in the strategy’s built-in EMA. The strategy also allows you to set internal Stop Loss and Take Profit levels, with the option to choose between Percentage-based TP/SL or ATR-based TP/SL. The strategy can be adapted to multiple assets and timeframes: Pick an asset and a timeframe Zoom back as far as possible to identify meaningful positive and negative peaks of the CCI Set Overbought and Oversold at a rough average of the peaks you identified Adjust TP/SL according to your risk management strategy Like the strategy? Give it a boost! Have any questions? Leave a comment or drop me a message. CAUTIONARY WARNING Please note that this is a complex trading strategy that involves several inputs and conditions. Before using it in live trading, it is highly recommended to thoroughly test it on historical data and use risk management techniques to safeguard your capital. After backtesting, it's also highly recommended to perform a first live test with a small amount. Additionally, it's essential to have a good understanding of the strategy's behavior and potential risks. Only risk what you can afford to lose . USED INDICATORS 1 — COMMODITY CHANNEL INDEX (CCI) The Commodity Channel Index (CCI) is a technical analysis indicator used to measure the momentum of an asset. It was developed by Donald Lambert and first published in Commodities magazine (now Futures) in 1980. Despite its name, the CCI can be used in any market and is not just for commodities. The CCI compares current price to average price over a specific time period. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement. The CCI was originally developed to spot long-term trend changes but has been adapted by traders for use on all markets or timeframes. Trading with multiple timeframes provides more buy or sell signals for active traders. Traders often use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals. CCI is calculated with the following formula: (Typical Price - Simple Moving Average) / (0.015 x Mean Deviation) Some trading strategies based on CCI can produce multiple false signals or losing trades when conditions turn choppy. Implementing a stop-loss strategy can help cap risk, and testing the CCI strategy for profitability on your market and timeframe is a worthy first step before initiating trades. 2 — AVERAGE TRUE RANGE (ATR) The Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range of price movements in a financial asset over a specific period of time. The ATR was developed by J. Welles Wilder Jr. and introduced in his book “New Concepts in Technical Trading Systems” in 1978. The ATR is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following: The difference between the current high and the current low. The difference between the previous close and the current high. The difference between the previous close and the current low. The ATR can be used to set stop-loss orders. One way to use ATR for stop-loss orders is to multiply the ATR by a factor (such as 2 or 3) and subtract it from the entry price for long positions or add it to the entry price for short positions. This can help traders set stop-loss orders that are more adaptive to market volatility. 3 — EXPONENTIAL MOVING AVERAGE (EMA) The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following: The difference between the current high and the current low. The difference between the previous close and the current high. The difference between the previous close and the current low. The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages. The formula for calculating EMA is as follows: Compute the Simple Moving Average (SMA). Calculate the multiplier for weighting the EMA. Calculate the current EMA using the following formula: EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier) STRATEGY EXPLANATION 1 — INPUTS AND PARAMETERS The strategy uses the Commodity Channel Index (CCI) with additional options for an Exponential Moving Average (EMA), Take Profit (TP) and Stop Loss (SL). length : The period length for the CCI calculation. overbought : The overbought level for the CCI. When CCI crosses above this level, it may signal a potential short entry. oversold : The oversold level for the CCI. When CCI crosses below this level, it may signal a potential long entry. useEMA : A boolean input to enable or disable the use of Exponential Moving Average (EMA) as a filter for long and short entries. emaLength : The period length for the EMA if it is used. 2 — CCI CALCULATION The CCI indicator is calculated using the following formula: (src - ma) / (0.015 * ta.dev(src, length)) src is the typical price (average of high, low, and close) and ma is the Simple Moving Average (SMA) of src over the specified length. 3 — EMA CALCULATION If the useEMA option is enabled, an EMA is calculated with the given emaLength . 4 — TAKE PROFIT AND STOP LOSS METHODS The strategy offers two methods for TP and SL calculations: percentage-based and ATR-based. tpSlMethod_percentage : A boolean input to choose the percentage-based method. tpSlMethod_atr : A boolean input to choose the ATR-based method. 5 — PERCENTAGE-BASED TP AND SL If tpSlMethod_percentage is chosen, the strategy calculates the TP and SL levels based on a percentage of the average entry price. tp_percentage : The percentage value for Take Profit. sl_percentage : The percentage value for Stop Loss. 6 — ATR-BASED TP AND SL If tpSlMethod_atr is chosen, the strategy calculates the TP and SL levels based on Average True Range (ATR). atrLength : The period length for the ATR calculation. atrMultiplier : A multiplier applied to the ATR to set the SL level. riskRewardRatio : The risk-reward ratio used to calculate the TP level. 7 — ENTRY CONDITIONS The strategy defines two conditions for entering long and short positions based on CCI and, optionally, EMA. Long Entry: CCI crosses below the oversold level, and if useEMA is enabled, the closing price should be above the EMA. Short Entry: CCI crosses above the overbought level, and if useEMA is enabled, the closing price should be below the EMA. 8 — TP AND SL LEVELS The strategy calculates the TP and SL levels based on the chosen method and updates them dynamically. For the percentage-based method, the TP and SL levels are calculated as a percentage of the average entry price. For the ATR-based method, the TP and SL levels are calculated using the ATR value and the specified multipliers. 9 — EXIT CONDITIONS The strategy defines exit conditions for both long and short positions. If there is a long position, it will be closed either at TP or SL levels based on the chosen method. If there is a short position, it will be closed either at TP or SL levels based on the chosen method. Additionally, positions will be closed if CCI crosses back above oversold in long positions or below overbought in short positions. 10 — PLOTTING The script plots the CCI line along with overbought and oversold levels as horizontal lines. The CCI line is colored red when above the overbought level, green when below the oversold level, and white otherwise. The shaded region between the overbought and oversold levels is plotted as well.
Pine Script™ Strategie
von AliferCrypto
5
Position Size Calculator (EzAlgo)Upon adding the indicator to the chart, you will be prompted to place entry price lines, stop loss price line, and multiple take profit price lines by clicking at the desired price level on the chart. Section Summaries Table Settings: Allows users to select position and font size from drop-down menus. Displays current settings and potential profit/loss values. Price Points: Users can set their Entry and select whether they want to include a DCA entry, Stop Loss price, Liquidation Buffer %, Take Profit levels and the amount of position to close at each level. Risk Management: Users fill out their Account Size, set their Risk % (or fixed $ amount) for each Entry, set Manual Leverage, or allow the indicator to automatically choose the leverage based on the Stop Loss price distance from Entry and the Risk % per Entry. User-Input Descriptions DCA Price: The price at which users initiate their second, equally sized and leveraged position when using a Dollar-Cost Averaging (DCA) strategy. Upon reaching the DCA Price, the Entry Price adjusts to the Avg Price, calculated as the midpoint between initial and DCA entries. Liquidation Buffer: A pre-set percentage that determines how close to the Stop Loss a position can get before it's liquidated. This assists the Auto Leverage feature in optimizing the leverage amount according to risk tolerance. Risk per Entry: The proportion of the account, in % or a fixed dollar amount, that users are willing to risk for each trading position. If DCA is checked, this will assume users are entering with half of the total position size per entry. Automatic Leverage: Auto Leverage automatically determines the optimal leverage level for a trade based on the user's Stop Loss price distance from the Entry point and the user-defined risk percentage per Entry. It also considers a user-defined Liquidation Buffer, which is a preset percentage determining how close to the Stop Loss a position can get before it's liquidated. This tool allows traders to optimize their leverage amount according to their risk tolerance. Max Leverage: The highest leverage level users are willing to use, even if the exchange permits higher. This limit applies when the Auto Leverage feature is enabled.
Pine Script™ Indikator
von EzAlgo
15
swing tradeTHIS strategy is based on the franklin ochao swing trade book confirmed bullish - when ever stock closed above R2 (more bullish) when ever stock closed between R1 AND R2 (moderatly bullish or consolidation phase with respect to previous trend) entry1 for more bullish trend is buy at every dips means when ever price low below pivot when it open above the pivot entry2 for more bullish trend is buy at low is below s1 keep strictly stoploss at s1 of previous day (r2 close day) trend reversal is possible once stock close below s1 in 1hr time frame virgin cpr or missed pivot is added a advantage For bearish mode this vice verse
Pine Script™ Strategie
von vinay182
3
EAG MACD + RSI StrategyTal vez existan scripts similares a este. Este script se basa el indicador MACD y elimina posibles entradas falsas con RSI para determinar si realiza una entrada al mercado. Explicación del código: 1. Inputs personalizables: • rsi_length: Longitud del RSI (por defecto, 14). • rsi_overbought: Nivel de sobrecompra del RSI (por defecto, 70). • rsi_oversold: Nivel de sobreventa del RSI (por defecto, 30). 2. Cálculo de indicadores: • RSI: Se calcula utilizando ta.rsi con el período definido por el usuario. • MACD: Se calcula utilizando ta.macd con parámetros estándar (12, 26, 9). Sin embargo corregí el código para que se puedan cambiar sus valores de acuerdo a la necesidad del usuario. 3. Condiciones de compra y venta: • Compra (buy_condition): Ocurre cuando el MACD cruza al alza (macd_crossup) y el RSI está en sobreventa (<= rsi_oversold). • Venta (sell_condition): Ocurre cuando el MACD cruza a la baja (macd_crossdown) y el RSI está en sobrecompra (>= rsi_overbought). 4. Órdenes de estrategia: • Se ejecuta una orden long (compra) si se cumple la condición de compra. • Se ejecuta una orden short (venta) si se cumple la condición de venta. 6. Visualización: • Se marcan en el gráfico las señales de compra y venta con flechas (plotshape). 7. Existe una variable para stop loss que por defecto se encuentra en 3%. Si el mercado se va en dirección contraria y sobrepasa el porcentaje específico, con strategy.close ejecuta una orden de mercado en la dirección en la que va. (Cierra la orden actual en el porcentaje de perdida especificado y abre una nueva en la dirección que va) 1. Stop Loss dinámico del 3% por defecto: • El usuario puede configurar el porcentaje de pérdida máxima permitida con el input stop_loss_percent (por defecto 3%). • Calculamos el nivel de stop loss: • Para posiciones largas: entry_price * (1 - stop_loss_percent / 100) • Para posiciones cortas: entry_price * (1 + stop_loss_percent / 100). • Si el precio actual supera esos niveles de pérdida, se ejecuta un strategy.close. 2. Registro del precio de entrada: • Usamos una variable global entry_price para almacenar el precio al momento de abrir una posición. 3. Cierre automático de posiciones: • Se verifica constantemente si el precio actual alcanza el nivel de stop loss y se cierra la posición abriendo una nueva con un comentario (Stop loss).Si no desea abrir una posición nueva para aprovechar el movimiento contrario, sino, cerrarla, puede cambiar el stop loss strategy.close por strategy.exit en el script.
Pine Script™ Strategie
von eagle916
7
Breaks and Retests - Free990Strategy Description: "Breaks and Retests - Free990" The "Breaks and Retests - Free990" strategy is based on identifying breakout and retest opportunities for potential entries in both long and short trades. The idea is to detect price breakouts above resistance levels or below support levels, and subsequently identify retests that confirm the breakout levels. The strategy offers an automated approach to enter trades after a breakout followed by a retest, which serves as a confirmation of trend continuation. Key Components: Support and Resistance Detection: The strategy calculates pivot levels based on historical price movements to define support and resistance areas. A lookback range is used to determine these key levels. Breakouts and Retests: The system identifies when a breakout occurs above a resistance level or below a support level. It then waits for a retest of the previously broken level as confirmation, which is often a better entry opportunity. Trade Direction Selection: Users can choose between "Long Only," "Short Only," or "Both" directions for trading based on their market view. Stop Loss and Trailing Stop: An initial stop loss is placed at a defined percentage away from the entry. The trailing stop loss is activated after the position gains a specified percentage in profit. Long Entry: A long entry is triggered if the price breaks above a resistance level and subsequently retests that level successfully. The entry condition checks if the breakout was confirmed and if a retest was valid. The long entry is only executed if the user-selected direction is either "Long Only" or "Both." Short Entry: A short entry is triggered if the price breaks below a support level and subsequently retests that level. The short entry is only executed if the user-selected direction is either "Short Only" or "Both." sell_condition checks whether the support has been broken and whether the retest condition is valid. An initial stop loss is placed when the trade is opened to limit the risk if the trade moves against the position. The stop loss is calculated based on a user-defined percentage (stop_loss_percent) of the entry price. pinescript Copy code stop_loss_price := strategy.position_avg_price * (1 - stop_loss_percent / 100) For long positions, the stop loss is placed below the entry price. For short positions, the stop loss is placed above the entry price. Trailing Stop: When a position achieves a certain profit threshold (profit_threshold_percent), the trailing stop mechanism is activated. For long positions, the trailing stop follows the highest price reached, ensuring that some profit is locked in if the price reverses. For short positions, the trailing stop follows the lowest price reached. Code Logic for Trailing Stop: Exit Execution: The strategy exits the position when the price hits the calculated stop loss level. This includes both the initial stop loss and the trailing stop that adjusts as the trade progresses. Code Logic for Exit: Summary: Breaks and Retests - Free990 uses support and resistance levels to identify breakouts, followed by retests for confirmation. Entry Points: Triggered when a breakout is confirmed and a retest occurs, for both long and short trades. Exit Points: Initial Stop Loss: Limits risk for both long and short trades. Trailing Stop Loss: Locks in profits as the price moves in favor of the position. This strategy aims to capture the momentum after breakouts and minimize losses through effective use of stop loss and trailing stops. It gives the flexibility of selecting trade direction and ensures trades are taken with confirmation through the retest, which helps to reduce false breakouts. Original Code by @HoanGhetti
Pine Script™ Strategie
von Free990
1
Zero-Lag MA Trend FollowingScript Name: Zero-Lag MA Trend Following Auto-Trading Purpose and Unique Features: This script is designed to implement a trend-following auto-trading strategy by combining the Zero-Lag Moving Average (ZLMA), Exponential Moving Average (EMA), and ATR Bands. To differentiate it from similar scripts, the following key aspects are emphasized: Zero-Lag MA (ZLMA): Responds quickly to price changes, minimizing lag compared to EMA. Detects crossovers with EMA and generates Diamond Signals to indicate trend reversals. ATR Bands: Measures market volatility to set stop-loss levels. Helps optimize entry points and manage risk effectively. Diamond Signals: A vital visual cue indicating the early stages of trend reversals. Green diamonds signal an uptrend, while red diamonds signal a downtrend. Each component plays a distinct role, working synergistically to enhance trend detection and risk management. This system doesn’t merely combine indicators but optimizes them for comprehensive trend-following and risk control. Usage Instructions: Entry Conditions: Long Entry: Enter when a green Diamond Signal appears (ZLMA crosses above EMA). Short Entry: Enter when a red Diamond Signal appears (ZLMA crosses below EMA). Exit Conditions: Stop Loss: Set at the lower boundary of the ATR band for BUY or the upper boundary for SELL at entry. Take Profit: Automatically executed based on a 1:2 risk-reward ratio. Account Size: ¥100,0000 Commissions and Slippage: Assumed commission of 90 pips per trade and slippage of 1 pip. Risk per Trade: 10% of account equity (adjustable based on risk tolerance). Improvements and Original Features: While based on open-source code, this script incorporates the following critical enhancements: Diamond Signals from ZLMA and EMA Integration: Improves entry accuracy with a proprietary trend detection strategy. ATR Bands Utilization: Adds a volatility-based risk management function. Optimized Visual Entry Signals: Includes plotted triangles (▲, ▼) to clearly indicate trend-following entry points. Credits: This script builds upon indicators developed by ChartPrime, whose innovative approach and insights have enabled a more advanced trend-following strategy. We extend our gratitude for their foundational work. Additionally, it integrates technical methods based on Zero-Lag Moving Average (ZLMA), EMA, and ATR Bands, leveraging insights from the trading community. Chart Display Options: The script offers options to toggle the visual signals (Diamond Signals, trend lines, and entry points) on or off, keeping the chart clean while maximizing analytical efficiency. Disclaimer: This script is provided for educational purposes and past performance does not guarantee future results. Use it responsibly with proper risk management.
Pine Script™ Strategie
von PakunFX
1
Post-Open Long Strategy with ATR-based Stop Loss and Take ProfitThe "Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit" is designed to identify buying opportunities after the German and US markets open. It combines various technical indicators to filter entry signals, focusing on breakout moments following price lateralization periods. Key Components and Their Interaction: Bollinger Bands (BB): Description: Uses BB with a 14-period length and standard deviation multiplier of 1.5, creating narrower bands for lower timeframes. Role in the Strategy: Identifies low volatility phases (lateralization). The lateralization condition is met when the price is near the simple moving average of the BB, suggesting an imminent increase in volatility. Exponential Moving Averages (EMA): 10-period EMA: Quickly detects short-term trend direction. 200-period EMA: Filters long-term trends, ensuring entries occur in a bullish market. Interaction: Positions are entered only if the price is above both EMAs, indicating a consolidated positive trend. Relative Strength Index (RSI): Description: 7-period RSI with a threshold above 30. Role in the Strategy: Confirms the market is not oversold, supporting the validity of the buy signal. Average Directional Index (ADX): Description: 7-period ADX with 7-period smoothing and a threshold above 10. Role in the Strategy: Assesses trend strength. An ADX above 10 indicates sufficient momentum to justify entry. Average True Range (ATR) for Dynamic Stop Loss and Take Profit: Description: 14-period ATR with multipliers of 2.0 for Stop Loss and 4.0 for Take Profit. Role in the Strategy: Adjusts exit levels based on current volatility, enhancing risk management. Resistance Identification and Breakout: Description: Analyzes the highs of the last 20 candles to identify resistance levels with at least two touches. Role in the Strategy: A breakout above this level signals a potential continuation of the bullish trend. Time Filters and Market Conditions: Trading Hours: Operates only during the opening of the German market (8:00 - 12:00) and US market (15:30 - 19:00). Panic Candle: The current candle must close negative, leveraging potential emotional reactions in the market. Avoiding Entry During Pullbacks: Description: Checks that the two previous candles are not both bearish. Role in the Strategy: Avoids entering during a potential pullback, improving trade success probability. Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit The "Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit" is designed to identify buying opportunities after the German and US markets open. It combines various technical indicators to filter entry signals, focusing on breakout moments following price lateralization periods. Key Components and Their Interaction: Bollinger Bands (BB): Description: Uses BB with a 14-period length and standard deviation multiplier of 1.5, creating narrower bands for lower timeframes. Role in the Strategy: Identifies low volatility phases (lateralization). The lateralization condition is met when the price is near the simple moving average of the BB, suggesting an imminent increase in volatility. Exponential Moving Averages (EMA): 10-period EMA: Quickly detects short-term trend direction. 200-period EMA: Filters long-term trends, ensuring entries occur in a bullish market. Interaction: Positions are entered only if the price is above both EMAs, indicating a consolidated positive trend. Relative Strength Index (RSI): Description: 7-period RSI with a threshold above 30. Role in the Strategy: Confirms the market is not oversold, supporting the validity of the buy signal. Average Directional Index (ADX): Description: 7-period ADX with 7-period smoothing and a threshold above 10. Role in the Strategy: Assesses trend strength. An ADX above 10 indicates sufficient momentum to justify entry. Average True Range (ATR) for Dynamic Stop Loss and Take Profit: Description: 14-period ATR with multipliers of 2.0 for Stop Loss and 4.0 for Take Profit. Role in the Strategy: Adjusts exit levels based on current volatility, enhancing risk management. Resistance Identification and Breakout: Description: Analyzes the highs of the last 20 candles to identify resistance levels with at least two touches. Role in the Strategy: A breakout above this level signals a potential continuation of the bullish trend. Time Filters and Market Conditions: Trading Hours: Operates only during the opening of the German market (8:00 - 12:00) and US market (15:30 - 19:00). Panic Candle: The current candle must close negative, leveraging potential emotional reactions in the market. Avoiding Entry During Pullbacks: Description: Checks that the two previous candles are not both bearish. Role in the Strategy: Avoids entering during a potential pullback, improving trade success probability. Entry and Exit Conditions: Long Entry: The price breaks above the identified resistance. The market is in a lateralization phase with low volatility. The price is above the 10 and 200-period EMAs. RSI is above 30, and ADX is above 10. No short-term downtrend is detected. The last two candles are not both bearish. The current candle is a "panic candle" (negative close). Order Execution: The order is executed at the close of the candle that meets all conditions. Exit from Position: Dynamic Stop Loss: Set at 2 times the ATR below the entry price. Dynamic Take Profit: Set at 4 times the ATR above the entry price. The position is automatically closed upon reaching the Stop Loss or Take Profit. How to Use the Strategy: Application on Volatile Instruments: Ideal for financial instruments that show significant volatility during the target market opening hours, such as indices or major forex pairs. Recommended Timeframes: Intraday timeframes, such as 5 or 15 minutes, to capture significant post-open moves. Parameter Customization: The default parameters are optimized but can be adjusted based on individual preferences and the instrument analyzed. Backtesting and Optimization: Backtesting is recommended to evaluate performance and make adjustments if necessary. Risk Management: Ensure position sizing respects risk management rules, avoiding risking more than 1-2% of capital per trade. Originality and Benefits of the Strategy: Unique Combination of Indicators: Integrates various technical metrics to filter signals, reducing false positives. Volatility Adaptability: The use of ATR for Stop Loss and Take Profit allows the strategy to adapt to real-time market conditions. Focus on Post-Lateralization Breakout: Aims to capitalize on significant moves following consolidation periods, often associated with strong directional trends. Important Notes: Commissions and Slippage: Include commissions and slippage in settings for more realistic simulations. Capital Size: Use a realistic trading capital for the average user. Number of Trades: Ensure backtesting covers a sufficient number of trades to validate the strategy (ideally more than 100 trades). Warning: Past results do not guarantee future performance. The strategy should be used as part of a comprehensive trading approach. With this strategy, traders can identify and exploit specific market opportunities supported by a robust set of technical indicators and filters, potentially enhancing their trading decisions during key times of the day.
Pine Script™ Strategie
von MatteoRizzitelli
1
Multi-Step Vegas SuperTrend - strategy [presentTrading]Long time no see! I am back : ) Please allow me to gain some warm-up. █ Introduction and How it is Different The "Vegas SuperTrend Strategy" is an enhanced trading strategy that leverages both the Vegas Channel and SuperTrend indicators to generate buy and sell signals. What sets this strategy apart from others is its dynamic adjustment to market volatility and its multi-step take profit mechanism. Unlike traditional single-step profit-taking approaches, this strategy allows traders to systematically scale out of positions at predefined profit levels, thereby optimizing their risk-reward ratio and maximizing potential gains. BTCUSD 6hr performance █ Strategy, How it Works: Detailed Explanation The Vegas SuperTrend Strategy combines the strengths of the Vegas Channel and SuperTrend indicators to identify market trends and generate trade signals. The following subsections delve into the details of how each component works and how they are integrated. 🔶 Vegas Channel Calculation The Vegas Channel is based on a simple moving average (SMA) and the standard deviation (STD) of the closing prices over a specified period. The channel is defined by upper and lower bounds that are dynamically adjusted based on market volatility. Simple Moving Average (SMA): SMA_vegas = (1/N) * Σ(Close_i) for i = 0 to N-1 where N is the length of the Vegas Window. Standard Deviation (STD): STD_vegas = sqrt((1/N) * Σ(Close_i - SMA_vegas)^2) for i = 0 to N-1 Vegas Channel Upper and Lower Bounds: VegasChannelUpper = SMA_vegas + STD_vegas VegasChannelLower = SMA_vegas - STD_vegas The details are here: 🔶 Trend Detection and Trade Signals The strategy determines the current market trend based on the closing price relative to the SuperTrend bounds: Market Trend: MarketTrend = 1 if Close > SuperTrendPrevLower -1 if Close < SuperTrendPrevUpper Previous Trend otherwise Trade signals are generated when there is a shift in the market trend: Bullish Signal: When the market trend shifts from -1 to 1. Bearish Signal: When the market trend shifts from 1 to -1. 🔶 Multi-Step Take Profit Mechanism The strategy incorporates a multi-step take profit mechanism that allows for partial exits at predefined profit levels. This helps in locking in profits gradually and reducing exposure to market reversals. Take Profit Levels: The take profit levels are calculated as percentages of the entry price: TakeProfitLevel_i = EntryPrice * (1 + TakeProfitPercent_i/100) for long positions TakeProfitLevel_i = EntryPrice * (1 - TakeProfitPercent_i/100) for short positions Multi-steps take profit local picture: █ Trade Direction The trade direction can be customized based on the user's preference: Long: The strategy only takes long positions. Short: The strategy only takes short positions. Both: The strategy can take both long and short positions based on the market trend. █ Usage To use the Vegas SuperTrend Strategy, follow these steps: Configure Input Settings: - Set the ATR period, Vegas Window length, SuperTrend Multiplier, and Volatility Adjustment Factor. - Choose the desired trade direction (Long, Short, Both). - Enable or disable the take profit mechanism and set the take profit percentages and amounts for each step. █ Default Settings The default settings of the strategy are designed to provide a balanced approach to trading. Below is an explanation of each setting and its effect on the strategy's performance: ATR Period (10): This setting determines the length of the ATR used in the SuperTrend calculation. A longer period smoothens the ATR, making the SuperTrend less sensitive to short-term volatility. A shorter period makes the SuperTrend more responsive to recent price movements. Vegas Window Length (100): This setting defines the period for the Vegas Channel's moving average. A longer window provides a broader view of the market trend, while a shorter window makes the channel more responsive to recent price changes. SuperTrend Multiplier (5): This base multiplier adjusts the sensitivity of the SuperTrend to the ATR. A higher multiplier makes the SuperTrend less sensitive, reducing the frequency of trade signals. A lower multiplier increases sensitivity, generating more signals. Volatility Adjustment Factor (5): This factor dynamically adjusts the SuperTrend multiplier based on the width of the Vegas Channel. A higher factor increases the sensitivity of the SuperTrend to changes in market volatility, while a lower factor reduces it. Take Profit Percentages (3.0%, 6.0%, 12.0%, 21.0%): These settings define the profit levels at which portions of the trade are exited. They help in locking in profits progressively as the trade moves in favor. Take Profit Amounts (25%, 20%, 10%, 15%): These settings determine the percentage of the position to exit at each take profit level. They are distributed to ensure that significant portions of the trade are closed as the price reaches the set levels, reducing exposure to reversals. Adjusting these settings can significantly impact the strategy's performance. For instance, increasing the ATR period or the SuperTrend multiplier can reduce the number of trades, potentially improving the win rate but also missing out on some profitable opportunities. Conversely, lowering these values can increase trade frequency, capturing more short-term movements but also increasing the risk of false signals.
Pine Script™ Strategie
von PresentTrading
7
Investments/swing trading strategy for different assetsStop worrying about catching the lowest price, it's almost impossible!: with this trend-following strategy and protection from bearish phases, you will know how to enter the market properly to obtain benefits in the long term. Backtesting context: 1899-11-01 to 2023-02-16 of SPX by Tvc. Commissions: 0.05% for each entry, 0.05% for each exit. Risk per trade: 2.5% of the total account For this strategy, 5 indicators are used: One Ema of 200 periods Atr Stop loss indicator from Gatherio Squeeze momentum indicator from LazyBear Moving average convergence/divergence or Macd Relative strength index or Rsi Trade conditions: There are three type of entries, one of them depends if we want to trade against a bearish trend or not. ---If we keep Against trend option deactivated, the rules for two type of entries are:--- First type of entry: With the next rules, we will be able to entry in a pull back situation: Squeeze momentum is under 0 line (red) Close is above 200 Ema and close is higher than the past close Histogram from macd is under 0 line and is higher than the past one Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1. For closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss. Second type of entry: With the next rules, we will not lose a possible bullish movement: Close is above 200 Ema Squeeze momentum crosses under 0 line Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1. Like in the past type of entry, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss. ---If we keep Against trend option activated, the rules are the same as the ones above, but with one more type of entry. This is more useful in weekly timeframes, but could also be used in daily time frame:--- Third type of entry: Close is under 200 Ema Squeeze momentum crosses under 0 line Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1. Like in the past type of entries, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss. Risk management For calculating the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this. Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance). Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account. We will use this risk management for applying compound interest. In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account. Script functions Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc. You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy. If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results. If you activate break even using rsi, when rsi crosses under overbought zone break even will be activated. This can work in some assets. ---Important: In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital--- Some things to consider USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE. DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT Do not forget to change commissions and other parameters related with back testing results! Some assets and timeframes where the strategy has also worked: BTCUSD : 4H, 1D, W SPX (US500) : 4H, 1D, W GOLD : 1D, W SILVER : 1D, W ETHUSD : 4H, 1D DXY : 1D AAPL : 4H, 1D, W AMZN : 4H, 1D, W META : 4H, 1D, W (and others stocks) BANKNIFTY : 4H, 1D, W DAX : 1D, W RUT : 1D, W HSI : 1D, W NI225 : 1D, W USDCOP : 1D, W
Pine Script™ Strategie
von StrategiesForEveryone
4
Template Trailing Strategy (Backtester)💭 Overview 💢 What is the "Template Trailing Strategy” ❓ The "Template Trailing Strategy" (TTS) is a back-tester orchestration framework. It supercharges the implementation-test-evaluation lifecycle of new trading strategies, by making it possible to plug in your own trading idea. While TTS offers a vast number of configuration settings, it primarily allows the trader to: Test and evaluate your own trading logic that is described in terms of entry, exit, and cancellation conditions. Define the entry and exit order types as well as their target prices when the limit, stop, or stop-limit order types are used. Utilize a variety of options regarding the placement of the stop-loss and take-profit target(s) prices and support for well-known techniques like moving to breakeven and trailing. Provide well-known quantity calculation methods to properly handle risk management and easily evaluate trading strategies and compare them. Alert on each trading event or any related change through a robust and fully customizable messaging system. All the above, build a robust tool that, once learned, significant and repetitive work that strategy developers often implement individually on every strategy script is eliminated. Taking advantage of TradingView’s built-in backtesting engine the evaluation of the trading ideas feels natural. By utilizing the TTS one can easily swap “trading logic” by testing, evaluating, and comparing each trading idea and/or individual component of a strategy. Finally, TTS, through its per-event alert management (and debugging) system, provides a fully automated solution that supports automated trading with real brokers via webhooks. NOTE: The “Template Trailing Strategy” does not dictate the way you can combine different (types of) indicators or how you should combine them. Thus, it should not be confused as a “Trading System”, because it gives its user full flexibility on that end (for better or worse). 💢 What is a “Signal Indicator” ❓ “Signal Indicator” (SI) is an indicator that can output a “signal” that follows a specific convention so that the “Template Trailing Strategy” can “understand” and execute the orders accordingly. The SI realizes the core trading logic signaling to the TTS when to enter, exit, or cancel an order. A SI instructs the TTS “when” to enter or exit, and the TTS determines “how” to enter and exit the position once the Signal Indicator generates a signal. A very simple example of a Signal Indicator might be a 200-day Simple Moving Average Signal. When the price of the security closes above the 200-day SMA, a SI would provide TTS with a “long entry signal”. Once TTS receives the “long entry signal”, the TTS will open a long position and send an alert or automated trade message via webhook to a broker, based on the Entry settings defined in TTS. If the TTS Entry settings specify a “Market” order type, then the open long position will be executed by TTS immediately. But if the TTS Entry settings specify a “Stop” order type with a 1% Stop Distance, then when the price of the security rises by 1% after the “long entry signal” occurs, the TTS will open a long position and the Long Entry alert or webhook to the broker will be sent. 🤔 How to Guide 💢 How to connect a “signal” from a “Signal Indicator” ❓ The “Template Trailing Strategy” was designed to receive external signals from a “Signal Indicator”. In this way, a “new trading idea” can be developed, configured, and evaluated separately from the TTS. Similarly, the SI can be held constant, and the trading mechanics can change in the TTS settings and back-tested to answer questions such as, “Am I better with a different stop loss placement method, what if I used a limit order instead of a stop order to enter, what if I used 25% margin instead of trading spot market?” To make that possible by connecting an external signal indicator to TTS, you should: Add in the same chart, the “Signal Indicator” of your choice (e.g. “Two MA Signal Indicator” , “Click Signal Indicator” , “Signal Adapter” , “Signal Composer” ) and the “Template Trailing Strategy”. Go to the “Settings/Inputs” tab in the “🛠️ STRATEGY” group of the TTS and change the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" to “🔨External” Go to the “🔨 STRATEGY – EXTERNAL” group settings of the TTS and change the “🔌𝐒𝐢𝐠𝐧𝐚𝐥 🛈➡” to the output signal of the “Signal Indicator” you want to connect. The selected combo box option should look like “:🔌Signal to TTS” where should correspond to the short title of your “Signal Indicator” 💢 How to create a Custom Trading logic ❓ The “Template Trailing Strategy” provides two ways to plug in your custom trading logic. Both of them have their advantages and disadvantages. ✍️ Develop your own Customized “Signal Indicator” 💥 The first approach is meant to be used for relatively more complex trading logic. The advantages of this approach are the full control and customization you have over the trading logic and the relatively simple configuration setup by having two scripts only. The downsides are that you have to have some experience with pinescript or you are willing to learn and experiment. You should also know the exact formula for every indicator you will use since you have to write it by yourself. Copy-pasting from existing open-source indicators will get you started quite fast though. The idea here is either to create a new indicator script from scratch or to copy an existing non-signal indicator and make it a “Signal Indicator”. To create a new script, press the “Pine Editor” button below the chart to open the “Pine Editor” and then press the “Open” button to open the drop-down menu with the templates. Select the “New Indicator” option. Add it to your chart to copy an existing indicator and press the source code {} button. Its source code will be shown in the “Pine Editor” with a warning on top stating that this is a read-only script. Press the “create a working copy”. Now you can give a descriptive title and a short title to your script, and you can work on (or copy-paste) the (other) indicators of your interest. Having all the information needed to make your decision the only thing you should do is define a DealConditions object and plot it like this: import jason5480/tts_convention/4 as conv // Calculate the start, end, cancel start, cancel end conditions dealConditions = conv.DealConditions.new( startLongDeal = , startShortDeal = , endLongDeal = , endShortDeal = , cnlStartLongDeal = , cnlStartShortDeal = , cnlEndLongDeal = , cnlEndShortDeal = ) // Use this signal in scripts like "Template Trailing Strategy" and "Signal Composer" that can use its value // Emit the current signal value according to the "two channels mod div" convention plot(series = conv.getSignal(dealConditions), title = '🔌Signal to TTS', color = color.olive, display = display.data_window + display.status_line, precision = 0) You should write your deal conditions appropriately based on your trading logic and put them in the code section shown above by replacing the “…” part after “=”. You can omit the conditions that are not relevant to your logic. For example, if you use only market orders for entering and exiting your positions the cnlStartLongDeal, cnlStartShortDeal, cnlEndLongDeal, and cnlEndShortDeal are irrelevant to your case and can be safely omitted from the DealConditions object. After successfully compiling your new custom SI script add it to the same chart with the TTS by pressing the “Add to chart” button. If all goes well, you will be able to connect your “signal” to the TTS as described in the “How to connect a “signal” from a “Signal Indicator”?” guide. 🧩 Adapt and Combine existing non-signal indicators 💥 The second approach is meant to be used for relatively simple trading logic. The advantages of this approach are the lack of pine script and coding experience needed and the fact that it can be used with closed-source indicators as long as the decision-making part is displayed as a line in the chart. The drawback is that you have to have a subscription that supports the “indicator on indicator” feature so you can connect the output of one indicator as an input to another indicator. Please check if your plan supports that feature here To plug in your own logic that way you have to add your indicator(s) of preference in the chart and then add the “Signal Adapter” script in the same chart as well. This script is a “Signal Indicator” that can be used as a proxy to define your custom logic in the CONDITIONS group of the “Settings/Inputs” tab after defining your inputs from your preferred indicators in the VARIABLES group. Then a “signal” will be produced, if your logic is simple enough it can be directly connected to the TTS that is also added to the same chart for execution. Check the “How to connect a “signal” from a “Signal Indicator”?” in the “🤔 How to Guide“ for more information. If your logic is slightly more complicated, you can add a second “Signal Adapter” in your chart. Then you should add the “Signal Composer” in the same chart, go to the SIGNALS group of the “Settings/Inputs” tab, and connect the “signals” from the “Signal Adapters”. “Signal Composer” is also a SI so its composed “signal” can be connected to the TTS the same way it is described in the “How to connect a “signal” from a “Signal Indicator”?” guide. At this point, due to the composability of the framework, you can add an arbitrary number (bounded by your subscription of course) of “Signal Adapters” and “Signal Composers” before connecting the final “signal” to the TTS. 💢 How to set up ⏰Alerts ❓ The “Template Trailing Strategy” provides a fully customizable per-even alert mechanism. This means that you may have an entirely different message for entering and exiting into a position, hitting a stop-loss or a take-profit target, changing trailing targets, etc. There are no restrictions, and this gives you great flexibility. First of all, you have to enable the alerts of the events that interest you. Go to the “🔔 ALERT MESSAGES” module of the TTS settings and check the “Enable…” checkbox of the events you are interested in. For each specific event, you will find a text area where you can type the exact message you want to receive when the event occurs. What’s more, there are placeholders you can use that will be replaced by the TTS with the actual values before the message is sent. The placeholder categories are the following and the placeholder names are self-explanatory. Chart info: {{ticker}}, {{base_currency}}, {{quote_currency}} Quantities and percentages: {{base_quantity}}, {{quote_quantity}}, {{quote_quantity_perc}}, {{take_profit_base_quantity}}, {{remaining_quantity_perc}}, {{remaining_base_quantity}}, {{risk_perc}} Target prices: {{stop_loss_price}}, {{entry_price}}, {{entry+_price}}, {{entry-_price}}, {{exit_price}}, {{exit+_price}}, {{exit-_price}}, {{take_profit_price_1}}, {{take_profit_price_2}}, {{take_profit_price_3}}, {{take_profit_price_4}}, {{take_profit_price_5}} ❗ To get the message on the other side you have to set a strategy alert as described here and use the {{strategy.order.alert_message}} placeholder as text in the “Message Box” that contains the message that came from the TTS. 💢 How to execute my orders in a broker ❓ To execute your orders in a broker that supports webhook integration, you should enable the appropriate alerts in the “Template Trailing Strategy” first (see the “How to set up Alerts?” guide above). Then you should go to the “Create Alert/Notifications” tab check the “Webhook URL” and paste the URL provided by your broker. You have to read the documentation of your broker for more information on what messages are expected. Keep in mind that some brokers have deep integration with TradingView so a per-event alert approach might be overkill. 📑 Definitions This section tries to give some definitions in terms that appear in the “Settings/Inputs" tab of the “Template Trailing Strategy” 💢 What is Trailing ❓ Trailing is a technique where a price target follows another “barrier” price (usually high or low) by trying to keep a maximum distance from the “barrier” when it moves in only one direction (up or down). When the “barrier” moves in the other direction the price target will not change. There are as many types of trailing as price targets, which means that there are entry trailing, exit trailing, stop-loss trailing, and take-profit trailing techniques. 💢 What is a Moonbag ❓ A Moonbag in a trade is the quantity of the position that is reserved and will not be exited even if all take-profit targets defined in the strategy are hit, the quantity will be exited only if the stop-loss is hit or a close signal is received. This makes the stop-loss trailing technique in a trend-following strategy a good candidate to take advantage of a Moonbag. 💢 What is Distance ❓ Distance is the difference between two prices. 💢 What is Bias ❓ Bias is a psychological phenomenon where you make decisions based on market sentiment. For example, when you want to enter a long position you have a long bias, and when you want to exit from the long position you have a short bias. It is the other way around for the short position. 💢 What is the Margin Distance of a price target ❓ The Margin Distance of a price target is the distance that the target will deviate from its initial price. The direction of this deviation depends on the bias of the market. For example, suppose you are in a long position, and you set a take-profit target to the local high (HHLL). In that case, adding a margin of five ticks will place your take-profit target 5 ticks below this local high because you have a short bias when exiting a long position. When the bias is long the margin will be added resulting in a higher target price and when you have a short bias the margin will be subtracted. ⚙️ Settings In the “Settings/Inputs” tab of the “Template Trailing Strategy”, you can find all the customizable settings that are provided by the framework. The variety of those settings is vast; hence we will only scratch the surface here. However, for every setting, there is an information icon 🛈 where you can learn more if you mouse over it. The “Settings/Inputs” tab is divided into ten main groups. Each one of them is responsible for one module of the framework. Every setting is part of a group that is named after the module it represents. So, to spot the module of a setting find the title that appears above it comes with an emoji and uppercase letters. Some settings might have the same name but belong to different modules e.g. “Distance Method”. Some settings are indented, which means that are closely related to the non-indented setting above. Usually, intended settings provide further configuration for one or more options of the non-intended setting. The groups that correspond to each module of the framework are the following: 📆 FILTERS In this module time filters are implemented. You can define a DateTime window for your strategy to run. You can also specify a session by selecting the days of the week and the time range you want to operate. 🛠️ STRATEGY This module contains the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" that defines if the “Template Trailing Strategy” will operate using the Internal or the External (“Signal Indicator”) conditions. Some general settings can be applied regardless of the mode. 🔨 STRATEGY – EXTERNAL This sub-module makes the connection between the external signal of the “Signal Indicator” and the “Template Trailing Strategy”. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔨External”. 🔧 STRATEGY – INTERNAL This sub-module defines the internal strategy logic and it's used as an example to demonstrate this framework. It should produce the same results as if the “Two MA Signal Indicator” was used as a “signal” in external mode. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔧Internal”. 🎢 VOLATILITY This module defines the volatility parameters that are used in various other settings like average true range and standard deviation. It also makes it clear whether their values are updated during a trade (DYNAMIC) or not (STATIC). 🔷 ENTRY This module defines how the start deal conditions will be executed by defining the order type of your entry and all necessary parameters to execute them. 🎯 TAKE PROFIT This module defines the take-profit targets placement logic. The number of the take-profit targets to use, their distance from the entry price, and the distance from each other are only some of the features that can be configured. 🛑 STOP LOSS This module defines the stop-loss target placement logic. The distance from the entry price, move to break even, and start trailing after a take-profit target is hit are only some of the features that can be configured. 🟪 EXIT This module defines how the end deal conditions will be executed by defining the order type of your exit and all necessary parameters to execute them. 💰 QUANTITY/RISK MANAGEMENT This module defines the method that calculates the amount of money you will put into each trade. Also, the percentage of the Moonbag quantity can be configured. 📊 ANALYTICS This module can visualize some extra analytics of the strategy in the chart and calculate some metrics to measure the overall performance. 🔔 ALERT MESSAGES This module defines all the messages that can be emitted per event during the strategy execution. 😲 Caveats 💢 Does “Template Trailing Strategy” has a repainting behavior ❓ The answer is that the “Template Trailing Strategy” does not repaint as long as the “Signal Indicator” that is connected also does not repaint. If you developed your own SI make sure that you understand and know how to prevent this behavior. The publication by @PineCoders here will give you a good idea on how to avoid most of the repainting cases. ⚠️There is an exception though, when the “Enable Trail⚠️💹” checkbox is checked, the Take Profit trailing feature is enabled, and a tick-based approach is used, meaning that after a while, when the TradingView discards all the real-time data, assumptions will be made by the backtesting engine that will cause a form of repainting. To avoid making false assumptions please disable this feature in the early stages and evaluate its usefulness in your strategy later on, after first confirming the success of the logic without this feature. In this case, consider turning on the bar magnifier feature. This way you will get more accurate backtest results when the Take Profit trailing feature is enabled. 💢 Can “Template Trailing Strategy” satisfy all my trading strategies ❓ While this framework can satisfy quite a large number of trading strategies there are cases where it cannot do so. For example, if you have a custom logic for your stop-loss or take-profit placement, or if you want to dollar cost average, then it might be better to start a new strategy script from scratch. ⚠️ It is not recommended to copy the official TTS code and start developing unless you are a pine wizard! Even in that case, there is a stiff learning curve that might not be worth your time. Last, you must consider that I do not offer support for customized versions of the TTS script and if something goes wrong in the process you are all alone. 🤗 Thanks Special thanks to @upslidedown and @metadimensional, who regularly gave feedback all those years and helped me to shape the framework as it is today! Thanks to @EltAlt, @PlusUltraTrading, and everyone else who contributed by either filing a “defect report” or asking questions that helped me to understand what improvements were necessary. Enjoy! Jason
Pine Script™ Strategie
von jason5480
209
Donchian DipThe Donchian Dip This strategy is designed to look for good "Buy the Dip" entries on stocks that are clearly in a strong 1-year upward trend. If you do not know how to identify those stocks on your own please do not use this system or continue your education until you do. The Donchian Dip strategy was designed on the daily time frame but works amazingly well on both daily and weekly timeframes. It does still work on intraday charts also if the current trend on the daily chart is in a strong uptrend. Chart Setup: 3-period Donchian Channel with a 1-period offset (hide basis) Bollinger Bands with the default settings of 20/2 (display basis) Entry Signals: There are 3 different entry signals that will be printed on the chart that have similar underlying criteria but are ranked based on skill level just like ski slope skill levels! I recommend only taking green entries until you are familiar with the system and the stocks you are trading. Green Easy Entry: This is the safest buy the dip entry that is normally found at or near a large retracement bottom. You might get one or two bad entries but be persistent and eventually, a great entry will present itself! These are the specifics for the conditions that trigger a Green entry if you want to know what they are: 1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel 2. Previous bar or 2 bars back closed below the lower Donchian channel 3. Previous bar or 2 bars back closed below the Bollinger Band Basis (20 SMA ) 4. The low of the previous bar or 2 bars back was below the lower Bollinger Band Blue Intermediate Entry: This is a decent entry if you missed the green entry, want to add to an existing position, or are not sure it will pull back far enough to even give a green entry. I would suggest only trade these entries to add to an existing pyramid position or get back into a trade that you were recently stopped out of. However, on high-flying stocks like TSLA these signals and the Black Diamond entry signals might be the only ones you get for a long time. Also, on the weekly chart, Blue or Black entries are sometimes all you will get for a year or more. These are the specifics for the conditions that trigger a Blue entry if you want to know what they are: 1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel 2. Previous bar or 2 bars back closed below the lower Donchian channel 3. Previous bar or 2 bars back closed below the Bollinger Band Basis (20 SMA ) Black Diamond Advanced Rule: This is normally just a small pullback re-entry signal on a strong trending stock like TSLA ...trade with extreme caution!!! You have been warned but daredevils feel free to give it a shot. I sometimes do trade these entries if the market and sector of the stock I am trading are extremely bullish or if I am looking to add to a position but I use a conservative stop. These are the specifics for the conditions that trigger a Black entry if you want to know what they are: 1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel 2. Previous bar or 2 bars back closed below the lower Donchian channel 3. Previous bar or 2 bars back closed above the Bollinger Band Basis (20 SMA ) Exit Criteria: The goal of this strategy is to buy the dip and hold as long as possible...let's practice some Paytience and exercise those holding muscles! RLT!!! So, we don't want to exit early but we also want to protect our profits somehow. We do this by using the built-in trailing stops that are defined by dots of three different shades of purple on the chart (feel free to change these in the settings). Simply move your trailing stop to the highest current dot price level. Do not move the trailing stop down ever even if a lower dot is printed later. These are simply the suggested trailing stops and definitely use your own judgment for exits but if you backtest this strategy enough you will most likely discover that in the long run, these trailing stops work really well. I hope this strategy helps you to identify good "Buy the Dip" entries on stocks you love as well as trains you to hold your winners longer for bigger gains. ***HOW TO ADD TO YOUR CHARTS*** 1) Click the "Add to Favorite Scripts" button 2) Go to a stock chart and click the "Indicators" icon at the top 3) Next, on the left, click the "Favorites" and then click the "Naked Put - Growth Indicator v2" 4) It should appear on your charts, and you can click the "gear" icon on the study to edit a few settings. 5) Read the release notes above so you understand how it works.
Pine Script™ Indikator
von Dustin_D_RLT
8
Xen's Flag Pattern Scalper1. Input Parameters: FlagLength: Determines the length of the flag pattern. TakeProfit1Ratio, takeProfit2Ratio, takeProfit3Ratio: Define the ratios for calculating the take-profit levels relative to the entry price. RiskRewardRatio: Specifies the risk-reward ratio for calculating the stop-loss level relative to the entry price. 2 Flag Conditions: BullishFlag: Checks if the current bar meets the conditions for a bullish flag pattern. It evaluates to true if the low of the current bar is lower than the low flagLength bars ago, and the close of the current bar is higher than the high flagLength bars ago. BearishFlag: Checks if the current bar meets the conditions for a bearish flag pattern. It evaluates to true if the high of the current bar is higher than the high flagLength bars ago, and the close of the current bar is lower than the low flagLength bars ago. 3. Entry Price: EntryPrice: Calculates the entry price based on whether a bullish or bearish flag pattern is identified. For a bullish flag, the entry price is set to the low of the current bar. For a bearish flag, the entry price is set to the high of the current bar. 4. Stop Loss: StopLoss: Determines the stop-loss level based on the entry price and the specified riskRewardRatio . For a bullish flag, the stop-loss level is calculated by subtracting the difference between the high and low of the current bar multiplied by the riskRewardRatio from the low of the current bar. For a bearish flag, the stop-loss level is calculated similarly but added to the high of the current bar. 5. Take Profit Levels: Three take-profit levels ( takeProfit1, takeProfit2, takeProfit3 ) are calculated based on the entry price, stop-loss level, and specified take-profit ratios ( takeProfit1Ratio, takeProfit2Ratio, takeProfit3Ratio ). 6. Plotting Signals and Levels: Bullish and bearish flag patterns are plotted using triangle shapes ( shape.triangleup for bullish and shape.triangledown for bearish) above or below the bars, respectively. Entry, stop-loss, and take-profit levels are plotted using horizontal lines ( line.new ) with different colors and styles. Entry and stop-loss levels are labeled with "Entry" and "SL", respectively, while take-profit levels are labeled with "TP 1", "TP 2", and "TP 3". The colors for bullish flags are white for entry, red for stop-loss, and green for take-profit levels. For bearish flags, the colors are the same, but the labels are plotted above the bars. 7. Label Placement: Labels for entry, stop-loss, and take-profit levels are placed a distance of 4 bars to the right of the entry price using bar_index + 4 . This indicator is intended to help traders identify flag patterns on price charts and visualize potential entry, stop-loss, and take-profit levels associated with these patterns. Please use risk management and when TP1 is hit, move stoploss to breakeven .
Pine Script™ Indikator
von xenathe
PresentTrend RMI Synergy - Strategy [presentTrading] █ Introduction and How it is Different The "PresentTrend RMI Synergy Strategy" is the combined power of the Relative Momentum Index (RMI) and a custom presentTrend indicator. This strategy introduces a multifaceted approach, integrating momentum analysis with trend direction to offer traders a more nuanced and responsive trading mechanism. BTCUSD 6h L/S Performance Local █ Strategy, How It Works: Detailed Explanation The "PresentTrend RMI Synergy Strategy" intricately combines the Relative Momentum Index (RMI) and a custom SuperTrend indicator to create a powerful tool for traders. 🔶 Relative Momentum Index (RMI) The RMI is a variation of the Relative Strength Index (RSI), but instead of using price closes against itself, it measures the momentum of up and down movements in price relative to previous prices over a given period. The RMI for a period length `N` is calculated as follows: RMI = 100 - 100/ (1 + U/D) where: - `U` is the average upward price change over `N` periods, - `D` is the average downward price change over `N` periods. The RMI oscillates between 0 and 100, with higher values indicating stronger upward momentum and lower values suggesting stronger downward momentum. RMI = 21 RMI = 42 For more information - RMI Trend Sync - Strategy : 🔶 presentTrend Indicator The presentTrend indicator combines the Average True Range (ATR) with a moving average to determine trend direction and dynamic support or resistance levels. The presentTrend for a period length `M` and a multiplier `F` is defined as: - Upper Band: MA + (ATR x F) - Lower Band: MA - (ATR x F) where: - `MA` is the moving average of the close price over `M` periods, - `ATR` is the Average True Range over the same period, - `F` is the multiplier to adjust the sensitivity. The trend direction switches when the price crosses the presentTrend bands, signaling potential entry or exit points. presentTrend length = 3 presentTrend length = 10 For more information - PresentTrend - Strategy : 🔶 Strategy Logic Entry Conditions: - Long Entry: Triggered when the RMI exceeds a threshold, say 60, indicating a strong bullish momentum, and when the price is above the presentTrend, confirming an uptrend. - Short Entry: Occurs when the RMI drops below a threshold, say 40, showing strong bearish momentum, and the price is below the present trend, indicating a downtrend. Exit Conditions with Dynamic Trailing Stop: - Long Exit: Initiated when the price crosses below the lower presentTrend band or when the RMI falls back towards a neutral level, suggesting a weakening of the bullish momentum. - Short Exit: Executed when the price crosses above the upper presentTrend band or when the RMI rises towards a neutral level, indicating a reduction in bearish momentum. Equations for Dynamic Trailing Stop: - For Long Positions: The exit price is set at the lower SuperTrend band once the entry condition is met. - For Short Positions: The exit price is determined by the upper SuperTrend band post-entry. These dynamic trailing stops adjust as the market moves, providing a method to lock in profits while allowing room for the position to grow. This strategy's strength lies in its dual analysis approach, leveraging RMI for momentum insights and presentTrend for trend direction and dynamic stops. This combination offers traders a robust framework to navigate various market conditions, aiming to capture trends early and exit positions strategically to maximize gains and minimize losses. █ Trade Direction The strategy provides flexibility in trade direction selection, offering "Long," "Short," or "Both" options to cater to different market conditions and trader preferences. This adaptability ensures that traders can align the strategy with their market outlook, risk tolerance, and trading goals. █ Usage To utilize the "PresentTrend RMI Synergy Strategy," traders should input their preferred settings in the Pine Script™ and apply the strategy to their charts. Monitoring RMI for momentum shifts and adjusting positions based on SuperTrend signals can optimize entry and exit points, enhancing potential returns while managing risk. █ Default Settings 1. RMI Length: 21 The 21-period RMI length strikes a balance between capturing momentum and filtering out market noise, offering a medium-term outlook on market trends. 2. Super Trend Length: 7 A SuperTrend length of 7 periods is chosen for its responsiveness to price movements, providing a dynamic framework for trend identification without excessive sensitivity. 3. Super Trend Multiplier: 4.0 The multiplier of 4.0 for the SuperTrend indicator widens the trend bands, focusing on significant market moves and reducing the impact of minor fluctuations. --- The "PresentTrend RMI Synergy Strategy" represents a significant step forward in trading strategy development, blending momentum and trend analysis in a unique way. By providing a detailed framework for understanding market dynamics, this strategy empowers traders to make more informed decisions.
Pine Script™ Strategie
von PresentTrading
T3 JMA KAMA VWMAEnhancing Trading Performance with T3 JMA KAMA VWMA Indicator Introduction In the dynamic world of trading, staying ahead of market trends and capitalizing on volume-driven opportunities can greatly influence trading performance. To address this, we have developed the T3 JMA KAMA VWMA Indicator, an innovative tool that modifies the traditional Volume Weighted Moving Average (VWMA) formula to increase responsiveness and exploit high-volume market conditions for optimal position entry. This article delves into the idea behind this modification and how it can benefit traders seeking to gain an edge in the market. The Idea Behind the Modification The core concept behind modifying the VWMA formula is to leverage more responsive moving averages (MAs) that align with high-volume market activity. Traditional VWMA utilizes the Simple Moving Average (SMA) as the basis for calculating the weighted average. While the SMA is effective in providing a smoothed perspective of price movements, it may lack the desired responsiveness to capitalize on short-term volume-driven opportunities. To address this limitation, our T3 JMA KAMA VWMA Indicator incorporates three advanced moving averages: T3, JMA, and KAMA. These MAs offer enhanced responsiveness, allowing traders to react swiftly to changing market conditions influenced by volume. T3 (T3 New and T3 Normal): The T3 moving average, one of the components of our indicator, applies a proprietary algorithm that provides smoother and more responsive trend signals. By utilizing T3, we ensure that the VWMA calculation aligns with the dynamic nature of high-volume markets, enabling traders to capture price movements accurately. JMA (Jurik Moving Average): The JMA component further enhances the indicator's responsiveness by incorporating phase shifting and power adjustment. This adaptive approach ensures that the moving average remains sensitive to changes in volume and price dynamics. As a result, traders can identify turning points and anticipate potential trend reversals, precisely timing their position entries. KAMA (Kaufman's Adaptive Moving Average): KAMA is an adaptive moving average designed to dynamically adjust its sensitivity based on market conditions. By incorporating KAMA into our VWMA modification, we ensure that the moving average adapts to varying volume levels and captures the essence of volume-driven price movements. Traders can confidently enter positions during periods of high trading volume, aligning their strategies with market activity. Benefits and Usage The modified T3 JMA KAMA VWMA Indicator offers several advantages to traders looking to exploit high-volume market conditions for position entry: Increased Responsiveness: By incorporating more responsive moving averages, the indicator enables traders to react quickly to changes in volume and capture short-term opportunities more effectively. Enhanced Entry Timing: The modified VWMA aligns with high-volume periods, allowing traders to enter positions precisely during price movements influenced by significant trading activity. Improved Accuracy: The combination of T3, JMA, and KAMA within the VWMA formula enhances the accuracy of trend identification, reversals, and overall market analysis. Comprehensive Market Insights: The T3 JMA KAMA VWMA Indicator provides a holistic view of market conditions by considering both price and volume dynamics. This comprehensive perspective helps traders make informed decisions. Analysis and Interpretation The modified VWMA formula with T3, JMA, and KAMA offers traders a valuable tool for analyzing volume-driven market conditions. By incorporating these advanced moving averages into the VWMA calculation, the indicator becomes more responsive to changes in volume, potentially providing deeper insights into price movements. When analyzing the modified VWMA, it is essential to consider the following points: Identifying High-Volume Periods: The modified VWMA is designed to capture price movements during high-volume periods. Traders can use this indicator to identify potential market trends and determine whether significant trading activity is driving price action. By focusing on these periods, traders may gain a better understanding of the market sentiment and adjust their strategies accordingly. Confirmation of Trend Strength: The modified VWMA can serve as a confirmation tool for assessing the strength of a trend. When the VWMA line aligns with the overall trend direction, it suggests that the current price movement is supported by volume. This confirmation can provide traders with additional confidence in their analysis and help them make more informed trading decisions. Potential Entry and Exit Points: One of the primary purposes of the modified VWMA is to assist traders in identifying potential entry and exit points. By capturing volume-driven price movements, the indicator can highlight areas where market participants are actively participating, indicating potential opportunities for opening or closing positions. Traders can use this information in conjunction with other technical analysis tools to develop comprehensive trading strategies. Interpretation of Angle and Gradient: The modified VWMA incorporates an angle calculation and color gradient to further enhance interpretation. The angle of the VWMA line represents the slope of the indicator, providing insights into the momentum of price movements. A steep angle indicates strong momentum, while a shallow angle suggests a slowdown. The color gradient helps visualize this angle, with green indicating bullish momentum and purple indicating bearish momentum. Conclusion By modifying the VWMA formula to incorporate the T3, JMA, and KAMA moving averages, the T3 JMA KAMA VWMA Indicator offers traders an innovative tool to exploit high-volume market conditions for optimal position entry. This modification enhances responsiveness, improves timing, and provides comprehensive market insights. Enjoy checking it out! --- Credits to: ◾ @cheatcountry – Hann Window Smoothing ◾ @loxx – T3 ◾ @everget – JMA
Pine Script™ Indikator
von simwai
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